DEPR: integer add/sub for Timestamp, DatetimeIndex, TimedeltaIndex

doc/source/whatsnew/v1.0.0.rst

@@ -547,6 +547,7 @@ or ``matplotlib.Axes.plot``. See :ref:`plotting.formatters` for more.
 - Removed support for nested renaming in :meth:`DataFrame.aggregate`, :meth:`Series.aggregate`, :meth:`DataFrameGroupBy.aggregate`, :meth:`SeriesGroupBy.aggregate`, :meth:`Rolling.aggregate` (:issue:`18529`)
 - Passing ``datetime64`` data to :class:`TimedeltaIndex` or ``timedelta64`` data to ``DatetimeIndex`` now raises ``TypeError`` (:issue:`23539`, :issue:`23937`)
 - A tuple passed to :meth:`DataFrame.groupby` is now exclusively treated as a single key (:issue:`18314`)
+- Addition and subtraction of ``int`` or integer-arrays is no longer allowed in :class:`Timestamp`, :class:`DatetimeIndex`, :class:`TimedeltaIndex`, use ``obj + n * obj.freq`` instead of ``obj + n`` (:issue:`22535`)
 - Removed :meth:`Series.from_array` (:issue:`18258`)
 - Removed :meth:`DataFrame.from_items` (:issue:`18458`)
 - Removed :meth:`DataFrame.as_matrix`, :meth:`Series.as_matrix` (:issue:`18458`)

pandas/_libs/tslibs/c_timestamp.pyx

@@ -51,15 +51,18 @@ class NullFrequencyError(ValueError):
     pass
 
 
-def maybe_integer_op_deprecated(obj):
-    # GH#22535 add/sub of integers and int-arrays is deprecated
-    if obj.freq is not None:
-        warnings.warn("Addition/subtraction of integers and integer-arrays "
-                      f"to {type(obj).__name__} is deprecated, "
-                      "will be removed in a future "
-                      "version.  Instead of adding/subtracting `n`, use "
-                      "`n * self.freq`"
-                      , FutureWarning)
+def integer_op_not_supported(obj):
+    # GH#22535 add/sub of integers and int-arrays is no longer allowed
+    # Note we return rather than raise the exception so we can raise in
+    #  the caller; mypy finds this more palatable.
+    cls = type(obj).__name__
+
+    int_addsub_msg = (
+        f"Addition/subtraction of integers and integer-arrays with {cls} is "
+        "no longer supported.  Instead of adding/subtracting `n`, "
+        "use `n * obj.freq`"
+    )
+    return TypeError(int_addsub_msg)
 
 
 cdef class _Timestamp(datetime):
@@ -229,15 +232,7 @@ cdef class _Timestamp(datetime):
             return type(self)(self.value + other_int, tz=self.tzinfo, freq=self.freq)
 
         elif is_integer_object(other):
-            maybe_integer_op_deprecated(self)
-
-            if self is NaT:
-                # to be compat with Period
-                return NaT
-            elif self.freq is None:
-                raise NullFrequencyError(
-                    "Cannot add integral value to Timestamp without freq.")
-            return type(self)((self.freq * other).apply(self), freq=self.freq)
+            raise integer_op_not_supported(self)
 
         elif PyDelta_Check(other) or hasattr(other, 'delta'):
             # delta --> offsets.Tick
@@ -256,12 +251,7 @@ cdef class _Timestamp(datetime):
 
         elif is_array(other):
             if other.dtype.kind in ['i', 'u']:
-                maybe_integer_op_deprecated(self)
-                if self.freq is None:
-                    raise NullFrequencyError(
-                        "Cannot add integer-dtype array "
-                        "to Timestamp without freq.")
-                return self.freq * other + self
+                raise integer_op_not_supported(self)
 
         # index/series like
         elif hasattr(other, '_typ'):
@@ -283,12 +273,7 @@ cdef class _Timestamp(datetime):
 
         elif is_array(other):
             if other.dtype.kind in ['i', 'u']:
-                maybe_integer_op_deprecated(self)
-                if self.freq is None:
-                    raise NullFrequencyError(
-                        "Cannot subtract integer-dtype array "
-                        "from Timestamp without freq.")
-                return self - self.freq * other
+                raise integer_op_not_supported(self)
 
         typ = getattr(other, '_typ', None)
         if typ is not None:

pandas/core/arrays/datetimelike.py

@@ -6,7 +6,7 @@
 import numpy as np
 
 from pandas._libs import NaT, NaTType, Timestamp, algos, iNaT, lib
-from pandas._libs.tslibs.c_timestamp import maybe_integer_op_deprecated
+from pandas._libs.tslibs.c_timestamp import integer_op_not_supported
 from pandas._libs.tslibs.period import DIFFERENT_FREQ, IncompatibleFrequency, Period
 from pandas._libs.tslibs.timedeltas import Timedelta, delta_to_nanoseconds
 from pandas._libs.tslibs.timestamps import RoundTo, round_nsint64
@@ -1207,7 +1207,7 @@ def __add__(self, other):
             # This check must come after the check for np.timedelta64
             # as is_integer returns True for these
             if not is_period_dtype(self):
-                maybe_integer_op_deprecated(self)
+                raise integer_op_not_supported(self)
             result = self._time_shift(other)
 
         # array-like others
@@ -1222,7 +1222,7 @@ def __add__(self, other):
             return self._add_datetime_arraylike(other)
         elif is_integer_dtype(other):
             if not is_period_dtype(self):
-                maybe_integer_op_deprecated(self)
+                raise integer_op_not_supported(self)
             result = self._addsub_int_array(other, operator.add)
         else:
             # Includes Categorical, other ExtensionArrays
@@ -1259,7 +1259,7 @@ def __sub__(self, other):
             # This check must come after the check for np.timedelta64
             # as is_integer returns True for these
             if not is_period_dtype(self):
-                maybe_integer_op_deprecated(self)
+                raise integer_op_not_supported(self)
             result = self._time_shift(-other)
 
         elif isinstance(other, Period):
@@ -1280,7 +1280,7 @@ def __sub__(self, other):
             result = self._sub_period_array(other)
         elif is_integer_dtype(other):
             if not is_period_dtype(self):
-                maybe_integer_op_deprecated(self)
+                raise integer_op_not_supported(self)
             result = self._addsub_int_array(other, operator.sub)
         else:
             # Includes ExtensionArrays, float_dtype

pandas/tests/arithmetic/test_datetime64.py

@@ -13,7 +13,7 @@
 from pandas._libs.tslibs.conversion import localize_pydatetime
 from pandas._libs.tslibs.offsets import shift_months
 from pandas.compat.numpy import np_datetime64_compat
-from pandas.errors import NullFrequencyError, PerformanceWarning
+from pandas.errors import PerformanceWarning
 
 import pandas as pd
 from pandas import (
@@ -1856,10 +1856,8 @@ def test_dt64_series_add_intlike(self, tz, op):
         method = getattr(ser, op)
         msg = "|".join(
             [
-                "incompatible type for a .* operation",
-                "cannot evaluate a numeric op",
-                "ufunc .* cannot use operands",
-                "cannot (add|subtract)",
+                "Addition/subtraction of integers and integer-arrays",
+                "cannot subtract .* from ndarray",
             ]
         )
         with pytest.raises(TypeError, match=msg):
@@ -1941,38 +1939,23 @@ class TestDatetimeIndexArithmetic:
     # -------------------------------------------------------------
     # Binary operations DatetimeIndex and int
 
-    def test_dti_add_int(self, tz_naive_fixture, one):
+    def test_dti_addsub_int(self, tz_naive_fixture, one):
         # Variants of `one` for #19012
         tz = tz_naive_fixture
         rng = pd.date_range("2000-01-01 09:00", freq="H", periods=10, tz=tz)
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            result = rng + one
-        expected = pd.date_range("2000-01-01 10:00", freq="H", periods=10, tz=tz)
-        tm.assert_index_equal(result, expected)
+        msg = "Addition/subtraction of integers"
 
-    def test_dti_iadd_int(self, tz_naive_fixture, one):
-        tz = tz_naive_fixture
-        rng = pd.date_range("2000-01-01 09:00", freq="H", periods=10, tz=tz)
-        expected = pd.date_range("2000-01-01 10:00", freq="H", periods=10, tz=tz)
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        with pytest.raises(TypeError, match=msg):
+            rng + one
+
+        with pytest.raises(TypeError, match=msg):
             rng += one
-        tm.assert_index_equal(rng, expected)
 
-    def test_dti_sub_int(self, tz_naive_fixture, one):
-        tz = tz_naive_fixture
-        rng = pd.date_range("2000-01-01 09:00", freq="H", periods=10, tz=tz)
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            result = rng - one
-        expected = pd.date_range("2000-01-01 08:00", freq="H", periods=10, tz=tz)
-        tm.assert_index_equal(result, expected)
+        with pytest.raises(TypeError, match=msg):
+            rng - one
 
-    def test_dti_isub_int(self, tz_naive_fixture, one):
-        tz = tz_naive_fixture
-        rng = pd.date_range("2000-01-01 09:00", freq="H", periods=10, tz=tz)
-        expected = pd.date_range("2000-01-01 08:00", freq="H", periods=10, tz=tz)
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+        with pytest.raises(TypeError, match=msg):
             rng -= one
-        tm.assert_index_equal(rng, expected)
 
     # -------------------------------------------------------------
     # __add__/__sub__ with integer arrays
@@ -1984,14 +1967,13 @@ def test_dti_add_intarray_tick(self, int_holder, freq):
         dti = pd.date_range("2016-01-01", periods=2, freq=freq)
         other = int_holder([4, -1])
 
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            expected = DatetimeIndex([dti[n] + other[n] for n in range(len(dti))])
-            result = dti + other
-        tm.assert_index_equal(result, expected)
+        msg = "Addition/subtraction of integers"
 
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            result = other + dti
-        tm.assert_index_equal(result, expected)
+        with pytest.raises(TypeError, match=msg):
+            dti + other
+
+        with pytest.raises(TypeError, match=msg):
+            other + dti
 
     @pytest.mark.parametrize("freq", ["W", "M", "MS", "Q"])
     @pytest.mark.parametrize("int_holder", [np.array, pd.Index])
@@ -2000,34 +1982,26 @@ def test_dti_add_intarray_non_tick(self, int_holder, freq):
         dti = pd.date_range("2016-01-01", periods=2, freq=freq)
         other = int_holder([4, -1])
 
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            expected = DatetimeIndex([dti[n] + other[n] for n in range(len(dti))])
+        msg = "Addition/subtraction of integers"
 
-        # tm.assert_produces_warning does not handle cases where we expect
-        # two warnings, in this case PerformanceWarning and FutureWarning.
-        # Until that is fixed, we don't catch either
-        with warnings.catch_warnings():
-            warnings.simplefilter("ignore")
-            result = dti + other
-        tm.assert_index_equal(result, expected)
+        with pytest.raises(TypeError, match=msg):
+            dti + other
 
-        with warnings.catch_warnings():
-            warnings.simplefilter("ignore")
-            result = other + dti
-        tm.assert_index_equal(result, expected)
+        with pytest.raises(TypeError, match=msg):
+            other + dti
 
     @pytest.mark.parametrize("int_holder", [np.array, pd.Index])
     def test_dti_add_intarray_no_freq(self, int_holder):
         # GH#19959
         dti = pd.DatetimeIndex(["2016-01-01", "NaT", "2017-04-05 06:07:08"])
         other = int_holder([9, 4, -1])
-        nfmsg = "Cannot shift with no freq"
         tmsg = "cannot subtract DatetimeArray from"
-        with pytest.raises(NullFrequencyError, match=nfmsg):
+        msg = "Addition/subtraction of integers"
+        with pytest.raises(TypeError, match=msg):
             dti + other
-        with pytest.raises(NullFrequencyError, match=nfmsg):
+        with pytest.raises(TypeError, match=msg):
             other + dti
-        with pytest.raises(NullFrequencyError, match=nfmsg):
+        with pytest.raises(TypeError, match=msg):
             dti - other
         with pytest.raises(TypeError, match=tmsg):
             other - dti

pandas/tests/arithmetic/test_timedelta64.py

@@ -5,7 +5,7 @@
 import numpy as np
 import pytest
 
-from pandas.errors import NullFrequencyError, OutOfBoundsDatetime, PerformanceWarning
+from pandas.errors import OutOfBoundsDatetime, PerformanceWarning
 
 import pandas as pd
 from pandas import (
@@ -409,7 +409,7 @@ def test_addition_ops(self):
             tdi[0:1] + dti
 
         # random indexes
-        with pytest.raises(NullFrequencyError):
+        with pytest.raises(TypeError):
             tdi + pd.Int64Index([1, 2, 3])
 
         # this is a union!
@@ -997,17 +997,13 @@ def test_td64arr_addsub_numeric_invalid(self, box_with_array, other):
         tdser = pd.Series(["59 Days", "59 Days", "NaT"], dtype="m8[ns]")
         tdser = tm.box_expected(tdser, box)
 
-        err = TypeError
-        if box in [pd.Index, tm.to_array] and not isinstance(other, float):
-            err = NullFrequencyError
-
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             tdser + other
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             other + tdser
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             tdser - other
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             other - tdser
 
     @pytest.mark.parametrize(
@@ -1039,18 +1035,15 @@ def test_td64arr_add_sub_numeric_arr_invalid(self, box_with_array, vec, dtype):
         box = box_with_array
         tdser = pd.Series(["59 Days", "59 Days", "NaT"], dtype="m8[ns]")
         tdser = tm.box_expected(tdser, box)
-        err = TypeError
-        if box in [pd.Index, tm.to_array] and not dtype.startswith("float"):
-            err = NullFrequencyError
 
         vector = vec.astype(dtype)
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             tdser + vector
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             vector + tdser
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             tdser - vector
-        with pytest.raises(err):
+        with pytest.raises(TypeError):
             vector - tdser
 
     # ------------------------------------------------------------------

pandas/tests/indexes/datetimes/test_arithmetic.py

@@ -69,17 +69,11 @@ def test_dti_shift_freqs(self):
     def test_dti_shift_int(self):
         rng = date_range("1/1/2000", periods=20)
 
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            # GH#22535
-            result = rng + 5
-
+        result = rng + 5 * rng.freq
         expected = rng.shift(5)
         tm.assert_index_equal(result, expected)
 
-        with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-            # GH#22535
-            result = rng - 5
-
+        result = rng - 5 * rng.freq
         expected = rng.shift(-5)
         tm.assert_index_equal(result, expected)